Healthcare · Finance · Insurance · AI Labs

The Execution &
Evidence Layer for AI

GLACIS creates cryptographic proof that your AI controls actually ran — not just that policies exist. Third-party witnessed attestations, with zero data egress.

SDK Available pip install glacis
Witness & compliance services in beta
Pango holding cryptographic proof receipt

The challenge

The Proof Gap in AI

Today, there’s no standard way to prove that AI controls actually executed. Policies describe intent. Dashboards show configuration. But neither provides independent evidence of what happened at runtime.

Documentation Isn’t Proof

Policies and procedures describe what should happen. They don’t verify what did happen when the model ran.

Observability Isn’t Evidence

Dashboards and logs are useful for debugging. But self-maintained records lack the independence needed for compliance and liability.

Attestation Closes the Gap

Independent, cryptographic proof that controls executed — witnessed by a third party, with data that never leaves your environment.

Why this matters now

When Sharp HealthCare faced a class action over their AI scribe in November 2025, the core issue was evidence: they needed to demonstrate what the AI actually did. As AI systems take on more responsibility in regulated industries, the ability to prove control execution — not just assert it — becomes essential.

How it works

Zero-Egress Attestation

You don’t need a third party to see sensitive data to prove integrity. GLACIS generates cryptographic receipts for every AI interaction — hashing prompts, responses, tool calls, and policy decisions locally, then anchoring those receipts to an independent witness network. The sensitive payload never leaves your environment.

You keep the logs
GLACIS holds the proofs
Neither alone can fabricate

See it in action

Watch Controls Execute in Real Time

An AI request arrives...

AI Pipeline
Clinical Decision Support
Input
PHI Detection
Pending
Safety Check
Pending
Model v3.2
Pending
Output
Waiting...
Attestation
Third-Party Witness
Standing by
Chain Entry #47,832
Waiting...

Integration

Add proof in 5 lines of code

Install the Python SDK, wrap your AI calls, and every prompt, response, tool call, and policy decision gets sealed with a tamper-proof receipt — witnessed by our live attestation service.

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pip install glacis · SDK available now
Pango watching over AI
Your AI acts tools, APIs, decisions
We witness every action recorded
You get proof tamper-proof

Zero Egress

Data stays local

Non-blocking witness

Read-only observer

Tamper-proof

Crypto signatures

~5ms

Zero slowdown

"We would never accept this for any other critical system. Financial systems have audit trails. Medical devices have mandated records. Aircraft have flight recorders. AI systems need the same level of verifiable evidence."

Joe Braidwood
Joe Braidwood
CEO, GLACIS · Previously SwiftKey (acquired by Microsoft)

As seen in

FAQ

Common questions

We already have SOC 2 / are working toward HITRUST

Great — those cover IT controls. AI-specific assurance addresses model behavior, decision audit trails, and content safety risks that SOC 2 and HITRUST don’t cover. They’re complementary.

How is this different from our existing documentation?

Documentation describes what should happen. GLACIS provides cryptographic proof of what actually happened — third-party witnessed evidence that your controls executed, not just that policies exist.

What industries do you work with?

We work with AI teams in regulated industries including healthcare, financial services, insurance, and enterprise. The common thread is needing to prove AI controls work, not just that policies exist.

What if we’re not ready for a full compliance program?

That’s fine. We offer focused engagements for teams who need to unblock deals now. Start with what you need, expand later.

Pango celebrating

Learn more about GLACIS

We’d love to hear about what you’re building.

Get in Touch